Learn Python Programming Fast | With Practical Assignments

Learn Python Programming Fast | With Practical Assignments
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

What you’ll learn

Beginner Programmers

AI & ML Enthusiasts

Web Developers Wanting to Learn Python

Professionals Seeking to Add Python to Their Skill Set

Non-Tech Professionals & Students

Requirements

No programming experience needed.

Description

Overview

Section 1: Introduction

Lecture 1 Introduction to Python

Lecture 2 How To Get The Most Out Of This Course

Lecture 3 Asking Questions & Getting Help

Section 2: Setting Up the Development Environment

Lecture 4 Install Python on Windows
Lecture 5 Install Python on Mac

Lecture 6 Install VS Code

Section 3: Basic Syntax and Data Types

Lecture 7 Executing Python Code

Lecture 9 Data Types in Python

Section 4: Operators & Expressions

Lecture 10 Arithmentic Operations

Lecture 11 Comparison Operators

Lecture 12 Logical Operators

Lecture 13 Practice Program

Section 5: Working with Strings & User Input in Python

Lecture 14 Concatenation

Lecture 15 Input Function

Lecture 16 Type Conversion

Lecture 17 String Methods

Lecture 18 String Formatting

Lecture 19 Assignment 1

Section 6: Collection Data Types in Python

Lecture 20 List

Lecture 21 Dictionary

Lecture 22 Tuple

Lecture 23 Set

Lecture 24 Assignment 2

Section 7: Control Flow in Python: Conditions & Loops

Lecture 25 If, Elif, Else Conditions

Lecture 26 For Loop

Lecture 27 While Loop

Lecture 28 Nested For Loop

Lecture 29 Break, Continue and Pass

Lecture 30 Assignment 3

Section 8: Functions in Python: Write, Call & Reuse Code

Lecture 31 Defining & Calling a Function

Lecture 32 Dynamic Functions

Lecture 33 Built-in Functions & User Defined Functions

Lecture 34 Lambda Functions

Lecture 35 Map Function

Lecture 36 Assignment 4

Section 9: File Handling in Python: Read, Write & Manage Files

Lecture 37 Reading the Files

Lecture 40 With Statements

Lecture 41 Handling CSV Files

Lecture 42 CSV Operations for Dictionaries

Section 10: Error Handling in Python: Try, Except & Debugging

Lecture 43 Common Errors in Python

Lecture 44 Error Handling – Try/Except Blocks

Section 11: Modules & Packages in Python: Importing & Organizing Code

Lecture 45 Modules in Python

Lecture 46 Packages in Python

Section 12: Python Mini Projects: Build Real-World Programs

Lecture 49 Write a Program to Create a To-Do List

Lecture 50 Thank you & Outro